A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

A scheduler for GPU/CPU tasks

The official implementation of "Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation" (ECCV 2024)

Official PyTorch implementation for "Efficient Meshflow and Optical Flow Estimation from Event Cameras"

Structured state space sequence models

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

Code for the paper "Low Latency Automotive Vision with Event Cameras", published in Nature

End-to-end optimal quadcopter control through Supervised Learning

🤖 Machine Learning Summer School deadlines

PyTorch code and models for V-JEPA self-supervised learning from video.

Machine learning, in numpy

Modern Fixed Point Systems using Pytorch

Samples which demonstrate features provided by cuSNN

Mamba SSM architecture

[3DV '24] Deep Event Visual Odometry

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (WACV '24)

A procedural Blender pipeline for photorealistic training image generation

dkms module of Linux i915 driver with SR-IOV support

A repository collating interesting and/or influential predictive coding papers

Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"

PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection …